Since the quantum circuits simulation size is restricted by the memory capacity of the classical computing systems, our goal is to trade the computation time for the memory space. We compress the state vector so that we can have a larger memory space for more state vector, and hence we can simulate a larger quantum system. The performance overhead is expected, but we are able to simulate a larger quantum system with the limited memory capacity. In this work, we incorporate HPC lossy data compression techniques to the quantum circuits simulator, Intel-QS [1]}. Intel-QS is a distributed high performance quantum circuits simulator. Since Intel-QS uses full state amplitude-vector update technique to run the simulation, Intel-QS is capable of high depth quantum circuits simulation.
